Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Loddo
1
60 kgRicheze
2
68 kgImpey
3
72 kgPark
4
73 kgTrusov
5
77 kgPasamontes
6
72 kgBrutt
8
70 kgDrancourt
9
68 kg
1
60 kgRicheze
2
68 kgImpey
3
72 kgPark
4
73 kgTrusov
5
77 kgPasamontes
6
72 kgBrutt
8
70 kgDrancourt
9
68 kg
Weight (KG) →
Result →
77
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LODDO Alberto | 60 |
| 2 | RICHEZE Maximiliano | 68 |
| 3 | IMPEY Daryl | 72 |
| 4 | PARK Sung Baek | 73 |
| 5 | TRUSOV Nikolay | 77 |
| 6 | PASAMONTES Luis | 72 |
| 8 | BRUTT Pavel | 70 |
| 9 | DRANCOURT Pierre | 68 |